河北水利电力学院学报2025，Vol.35Issue(2)：35-41,7.DOI:10.16046/j.cnki.issn2096-5680.2025.02.007
便携收费终端条件下改进型车牌识别算法研究
Research on Improved License Plate Recognition Algorithm under the Condition of Portable Toll Collection Terminal
摘要
Abstract
An improved end-to-end lightweight license plate recognition algorithm based on YOLOv5 was proposed to address vehicle congestion caused by equipment failures or heavy traffic at highway toll stations.The algorithm was specifically designed for deployment on portable toll collection terminals with limited hardware resources to enable mobile manual charging/card issuing operations.Three key modifica-tions were implemented in the YOLOv5 architecture.Firstly,the backbone network was replaced with FasterNet to effectively reduce computational complexity.Secondly,the ECA-Net attention mechanism was incorporated to enhance candidate region localization efficiency.Finally,the EIoU loss function was u-tilized to improve small target recognition accuracy.Experimental results demonstrated that the modified algorithm achieved 0.8%higher mAP and 18.9%lower FLOPs compared to the original YOLOv5-based license plate recognition model.Comprehensive field tests were conducted under actual portable toll collec-tion terminal deployment conditions.The effectiveness of the algorithm was verified through practical ap-plication scenarios.关键词
便携收费终端/车牌识别/YOLOv5/模型轻量化/注意力机制/损失函数Key words
portable toll collection terminal/license plate recognition/YOLOv5/model lightweight-ing/attention mechanism/loss function分类
计算机与自动化引用本文复制引用
吉庆昌,刘强,栗梦媛,孙东来,王继超..便携收费终端条件下改进型车牌识别算法研究[J].河北水利电力学院学报,2025,35(2):35-41,7.基金项目
河北省高层次人才资助项目(A202001041) （A202001041）
